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Hossein ARABI
Hossein ARABI
Associate researcher, University of Geneva
Verified email at unige.ch
Title
Cited by
Cited by
Year
The promise of artificial intelligence and deep learning in PET and SPECT imaging
H Arabi, A AkhavanAllaf, A Sanaat, I Shiri, H Zaidi
Physica Medica 83, 122-137, 2021
1802021
Vision 20/20: magnetic resonance imaging‐guided attenuation correction in PET/MRI: challenges, solutions, and opportunities
A Mehranian, H Arabi, H Zaidi
Medical physics 43 (3), 1130-1155, 2016
1582016
Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy
H Arabi, H Zaidi
European Journal of Hybrid Imaging 4 (1), 17, 2020
1432020
Comparative study of algorithms for synthetic CT generation from MRI: Consequences for MRI‐guided radiation planning in the pelvic region
H Arabi, JA Dowling, N Burgos, X Han, PB Greer, N Koutsouvelis, H Zaidi
Medical physics 45 (11), 5218-5233, 2018
1272018
Atlas-guided generation of pseudo-CT images for MRI-only and hybrid PET–MRI-guided radiotherapy treatment planning
H Arabi, N Koutsouvelis, M Rouzaud, R Miralbell, H Zaidi
Physics in Medicine & Biology 61 (17), 6531, 2016
1062016
Deep learning-assisted ultra-fast/low-dose whole-body PET/CT imaging
A Sanaat, I Shiri, H Arabi, I Mainta, R Nkoulou, H Zaidi
European journal of nuclear medicine and molecular imaging 48, 2405-2415, 2021
1032021
Projection Space Implementation of Deep Learning–Guided Low-Dose Brain PET Imaging Improves Performance over Implementation in Image Space
A Sanaat, H Arabi, I Mainta, V Garibotto, H Zaidi
Journal of Nuclear Medicine 61 (9), 1388-1396, 2020
1022020
Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients
I Shiri, M Sorouri, P Geramifar, M Nazari, M Abdollahi, Y Salimi, ...
Computers in biology and medicine 132, 104304, 2021
962021
Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network
I Shiri, A Akhavanallaf, A Sanaat, Y Salimi, D Askari, Z Mansouri, ...
European radiology 31, 1420-1431, 2021
962021
A new deep convolutional neural network design with efficient learning capability: Application to CT image synthesis from MRI
A Bahrami, A Karimian, E Fatemizadeh, H Arabi, H Zaidi
Medical Physics 47 (10), 5158-5171, 2020
962020
Novel adversarial semantic structure deep learning for MRI-guided attenuation correction in brain PET/MRI
H Arabi, G Zeng, G Zheng, H Zaidi
European journal of nuclear medicine and molecular imaging 46, 2746-2759, 2019
962019
Deep-JASC: joint attenuation and scatter correction in whole-body 18F-FDG PET using a deep residual network
I Shiri, H Arabi, P Geramifar, G Hajianfar, P Ghafarian, A Rahmim, MR Ay, ...
European journal of nuclear medicine and molecular imaging 47, 2533-2548, 2020
902020
Standard SPECT myocardial perfusion estimation from half-time acquisitions using deep convolutional residual neural networks
I Shiri, KAM Sabet, H Arabi, M Pourkeshavarz, B Teimourian, MR Ay, ...
Journal of Nuclear Cardiology 28 (6), 2761-2779, 2021
722021
Whole-body voxel-based internal dosimetry using deep learning
A Akhavanallaf, I Shiri, H Arabi, H Zaidi
European Journal of Nuclear Medicine and Molecular Imaging 48, 670-682, 2021
712021
Deep learning‐guided joint attenuation and scatter correction in multitracer neuroimaging studies
H Arabi, K Bortolin, N Ginovart, V Garibotto, H Zaidi
Human brain mapping 41 (13), 3667-3679, 2020
692020
Comparison of different deep learning architectures for synthetic CT generation from MR images
A Bahrami, A Karimian, H Arabi
Physica Medica 90, 99-107, 2021
642021
Clinical assessment of MR-guided 3-class and 4-class attenuation correction in PET/MR
H Arabi, O Rager, A Alem, A Varoquaux, M Becker, H Zaidi
Molecular imaging and biology 17, 264-276, 2015
632015
Spatially guided nonlocal mean approach for denoising of PET images
H Arabi, H Zaidi
Medical Physics 47 (4), 1656-1669, 2020
622020
Quantitative analysis of MRI-guided attenuation correction techniques in time-of-flight brain PET/MRI
A Mehranian, H Arabi, H Zaidi
Neuroimage 130, 123-133, 2016
622016
Cardiac SPECT radiomic features repeatability and reproducibility: A multi-scanner phantom study
M Edalat-Javid, I Shiri, G Hajianfar, H Abdollahi, H Arabi, N Oveisi, ...
Journal of Nuclear Cardiology 28 (6), 2730-2744, 2021
612021
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Articles 1–20